Passive ranging within a differential framework

Qingguo Yang; Liren Liu; De'an Liu; Jianfeng Sun; Yongjian Zhu; Wei Lu

doi:10.1117/12.678396

24 August 2006 Passive ranging within a differential framework

Qingguo Yang, Liren Liu, De'an Liu, Jianfeng Sun, Yongjian Zhu, Wei Lu

Proceedings Volume 6312, Applications of Digital Image Processing XXIX; 63121F (2006) https://doi.org/10.1117/12.678396
Event: SPIE Optics + Photonics, 2006, San Diego, California, United States

Abstract

Finding the distance of object in a scene from vision information is an important problem in machine vision. A large number of techniques for passive ranging of unknown objects have been developed over the years (i.e. range from stereo, motion, focus and defocus). Nearly all such techniques may be framed in terms of a differential formalism. In the case of binocular stereo, two different images are taken from cameras at different discrete viewpoints, similarly, difference between consecutive images are often used to determine viewpoint derivatives for structure from motion and two or more different images taken from cameras with different aperture size are used to compute the derivative respect to aperture size for range from focus and defocus method. All this methods may be fallen into a discrete differentiation category. Farid proposed a consecutive differentiation method for range estimation which employs the intensity variation of the images along with the aperture changes to measure the range information. In this paper, we first consider the plenoptic function which is a powerful mathematical tool for understanding the primary vision problem. We then show an algorithm within a differential framework for range estimation based on the assumption of brightness constancy. Finally we show several implementations of passive ranging using this differential algorithm.

Citation Download Citation

Qingguo Yang, Liren Liu, De'an Liu, Jianfeng Sun, Yongjian Zhu, and Wei Lu "Passive ranging within a differential framework", Proc. SPIE 6312, Applications of Digital Image Processing XXIX, 63121F (24 August 2006); https://doi.org/10.1117/12.678396

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